Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.
- data-science
- model-explanation
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Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.
Kekule widget for common-lisp-jupyter
Data grid widget for common-lisp-jupyter
A demonstration tutorial of using aiida-quantumespresso
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.
Estimating the number of clusters in a data set via the gap statistic. Implemented in H2O-3
Implementation of Partitioning Around Medoids (PAM) in H2O-3
dplyr-style interface to MongoDB database
A drat repository for R Package releases including the R COBOL Data Integration (rcoboldi) and R Bitcoincharts.com API packages (rbitcoinchartsapi).
Micropython Driver for CS5490 Energy Monitor IC